The following paper [1]} compares performance of the fully connected AEs, denoising AEs and the Gaussian kernel PCA on the artificial multidimensional data and satellite's telemetry data. The authors prove that the AEs architectures can learn to represent normal data and that the reconstruction error could be used as an anomaly score even in the multidimensional data. The AEs based methods clearly outperform the PCA in this research.
